{"id":"W2799147087","doi":"10.1145/3209978.3210066","title":"Split-Lists and Initial Thresholds for WAND-based Search","year":2018,"lang":"en","type":"article","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Partition (number theory); Search engine; Rank (graph theory); Information retrieval; Data mining; Mathematics; Combinatorics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00853513,0.001273763,0.001434517,0.0035326,0.001519463,0.003392882,0.003281011,0.001662784,0.003320832],"category_scores_gemma":[0.04911675,0.000588735,0.0006273889,0.003996942,0.001339887,0.008557352,0.00177026,0.001720228,0.001685692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001791475,"about_ca_system_score_gemma":0.002972847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009457448,"about_ca_topic_score_gemma":0.01336923,"domain_scores_codex":[0.9933007,0.001857434,0.0007547719,0.0008302301,0.002358443,0.0008984988],"domain_scores_gemma":[0.9653161,0.01958569,0.001487878,0.006742665,0.005580486,0.001287301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01511498,0.002827965,0.03683259,0.001398392,0.00059582,0.0004087763,0.00105627,0.2307804,0.05714131,0.01609564,0.03300555,0.6047422],"study_design_scores_gemma":[0.000721943,0.003254581,0.009524561,0.00007925885,0.00015516,0.0003721145,0.0006041795,0.9083261,0.0619974,0.01030978,0.004461628,0.0001931226],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7237533,0.004957234,0.2172083,0.00100396,0.0003281237,0.0007317582,0.001828515,0.04042749,0.009761291],"genre_scores_gemma":[0.8471639,0.0003290175,0.148139,0.0001465824,0.00004367493,0.0002230473,0.001933977,0.0007436462,0.001277116],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.009457448,"threshold_uncertainty_score":0.04513866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04492788530374531,"score_gpt":0.3256248482940918,"score_spread":0.2806969629903465,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}